Bullying Involvement and Subtypes of Disabilities: Who is Likely to be Affected by What?

Abstract

The current study uses latent class analysis (LCA) and binary logistic regression analysis to explore profiles of bullying and how they might be associated with the types of disabilities. LCA was used to determine a categorization of involvement in bullying among youth with various types of disabilities. Binary logistic regression analysis was conducted to explore how profiles of bullying involvement might be associated with types of disabilities. The study uses the 2016 National Survey of Children’s Health, a large-scale survey completed on children’s health, ages 0–17, in the United States. A total of 139,923 households were screened for eligibility. The study participants consisted of 50,212 caregivers of a child who completed the survey. Findings revealed that among caregivers of children without disabilities, 79.5% reported that their child was uninvolved, and 20.5% reported that their child was a victim of bullying. Children in the developmental disabilities, speech and/or language disorders, and learning disabilities groups, showed significant odds of being in the bullying victim group compared to those without any disabilities. The study did not find that children in any disability groups were likely to be in the perpetrator group. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.